Senior Data Scientist – Customer Experience, Channel Innovation

CVS Health

. Design, develop and improve patient and customer engagement use cases, including experiments, campaigns, analytical modeling and AI-enabled engagement solutions .

Posted 11/12/2026full-timeRemote • Massachusetts • United StatesSenior💰 $101,970 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics, with proficiency in SQL, Python, and PySpark for cloud computing environments. Capable of leading complex projects and mentoring junior analysts while effectively communicating insights to stakeholders.

Highest-signal resume keywords

Data ScienceSQL ProficiencyPython ProgrammingCloud Computing ExperienceStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisMachine LearningExperimental DesignData Engineering

Soft Skills

Effective CommunicationStakeholder InfluenceMentoring

Tools & Technologies

PySparkCloud PlatformsData Visualization

Certifications & Qualifications

Masters Degree

Industry Keywords

Patient EngagementCustomer EngagementAI-Enabled SolutionsProduct AnalyticsMarketing Analytics

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Design, develop and improve patient and customer engagement use cases, including experiments, campaigns, analytical modeling and AI-enabled engagement solutions
Work with stakeholders to innovate, prioritize and execute experimental concepts, including automated and semi-automated experimentation at scale
Apply analytical modeling and statistical analyses to determine intervention effectiveness
Perform diagnostic analytics by querying, mining and analyzing big data in CVS Health’s cloud computing environment using Python, PySpark and SQL
Evaluate the quality and performance of AI-generated outputs using structured evaluation methods
Lead deployment of data-driven product enhancements by guiding engineers through end-to-end product and pipeline development
Compile insights through data visualization, automated measurement and monitoring
Present findings and recommendations to key stakeholders
Liaise between business, engineering and data science teams to design and implement enhancements
Translate business needs into analytics and AI problems and apply analytics frameworks to pharmacy product development
Mentor junior analysts and direct and review contract resources

Requirements

What you’ll need

3+ years of academic background or prior experiences in data science, statistics, computer science, artificial intelligence/machine learning, product analytics, marketing analytics, or business analytics
Proficiency in SQL, Python and PySpark
Experience with cloud computing and programming in a cloud platform such as Azure, GCP or AWS
Strong understanding of descriptive and inferential statistics
Understanding of experimental and observational study design
Working knowledge of supervised and unsupervised machine learning and data engineering
Ability to structure problems and influence stakeholders in a data-driven way
Experience leading complex projects with multiple stakeholders in a cross-matrixed environment
Effective communication and presentation skills
Masters degree required

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being
CVS Health bonus, commission or short-term incentive program in addition to base pay